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Music and Artificial Intelligence

Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Proceedings

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Christina Anagnostopoulou

    1. Faculty of Music, University of Edinburgh, Edinburgh, UK

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  2. Miguel Ferrand

    1. Faculty of Music, University of Edinburgh, Edinburgh, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Alan Smaill

    1. Division of Informatics, University of Edinburgh, Edinburgh, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2445)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICMAI 2002.

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Table of contents (18 papers)

  1. Front Matter

    Pages I-VIII
    Download chapter PDF

  3. Regular Contributions

    1. A General Parsing Model for Music and Language

      • Rens Bod
      Pages 5-17

    2. The Spiral Array: An Algorithm for Determining Key Boundaries

      • Elaine Chew
      Pages 18-31

    3. Representation and Discovery of Vertical Patterns in Music

      • Darrell Conklin
      Pages 32-42

    4. Discovering Musical Structure in Audio Recordings

      • Roger B. Dannenberg, Ning Hu
      Pages 43-57

    5. Real Time Tracking and Visualisation of Musical Expression

      • Simon Dixon, Werner Goebl, Gerhard Widmer
      Pages 58-68

    6. Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques

      • Perfecto Herrera, Alexandre Yeterian, Fabien Gouyon
      Pages 69-80

    7. Some Formal Problems with Schenkerian Representations of Tonal Structure

      • Tim Horton
      Pages 81-93

    8. Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming

      • Soh Igarashi, Tomonobu Ozaki, Koichi Furukawa
      Pages 94-106

    9. Mimetic Development of Intonation

      • Eduardo Reck Miranda
      Pages 107-118

    10. Interacting with a Musical Learning System: The Continuator

      • Francois Pachet
      Pages 119-132

    11. Recognition of Isolated Musical Patterns Using Hidden Markov Models

      • Aggelos Pikrakis, Sergios Theodoridis, Dimitris Kamarotos
      Pages 133-143

    12. A Model for the Perception of Tonal Melodies

      • Dirk-Jan Povel
      Pages 144-154

    13. Control Language for Harmonisation Process

      • Somnuk Phon-Amnuaisuk
      Pages 155-167

    14. Evaluating Melodic Segmentation

      • Christian Spevak, Belinda Thom, Karin Höthker
      Pages 168-182

    15. Combining Grammar-Based and Memory-Based Models of Perception of Time Signature and Phase

      • Neta Spiro
      Pages 183-194

    16. A Bayesian Approach to Key-Finding

      • David Temperley
      Pages 195-206

  4. Back Matter

    Pages 207-207
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Other volumes

  1. Music and Artificial Intelligence

Keywords

Editors and Affiliations

  • Faculty of Music, University of Edinburgh, Edinburgh, UK

    Christina Anagnostopoulou, Miguel Ferrand

  • Division of Informatics, University of Edinburgh, Edinburgh, UK

    Alan Smaill

Bibliographic Information

  • Book Title: Music and Artificial Intelligence

  • Book Subtitle: Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Proceedings

  • Editors: Christina Anagnostopoulou, Miguel Ferrand, Alan Smaill

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-45722-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2002

  • Softcover ISBN: 978-3-540-44145-8Published: 28 August 2002

  • eBook ISBN: 978-3-540-45722-0Published: 02 August 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 212

  • Topics: Artificial Intelligence, Music, Computer Appl. in Arts and Humanities, Pattern Recognition

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